Quantum State Synthesis: Relation with Decision Complexity Classes and Impossibility of Synthesis Error Reduction

Fuente: arXiv
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Auteurs principaux: Delavenne, Hugo, Gall, François Le
Format: Preprint
Publié: 2024
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author Delavenne, Hugo
Gall, François Le
author_facet Delavenne, Hugo
Gall, François Le
contents This work investigates the relationships between quantum state synthesis complexity classes (a recent concept in computational complexity that focuses on the complexity of preparing quantum states) and traditional decision complexity classes. We especially investigate the role of the synthesis error parameter, which characterizes the quality of the synthesis in quantum state synthesis complexity classes. We first show that in the high synthesis error regime, collapse of synthesis classes implies collapse of the equivalent decision classes. For more reasonable synthesis error, we then show a similar relationships for BQP and QCMA. Finally, we show that for quantum state synthesis classes it is in general impossible to improve the quality of the synthesis: unlike the completeness and soundness parameters (which can be improved via repetition), the synthesis error cannot be reduced, even with arbitrary computational power.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02907
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum State Synthesis: Relation with Decision Complexity Classes and Impossibility of Synthesis Error Reduction
Delavenne, Hugo
Gall, François Le
Quantum Physics
Computational Complexity
This work investigates the relationships between quantum state synthesis complexity classes (a recent concept in computational complexity that focuses on the complexity of preparing quantum states) and traditional decision complexity classes. We especially investigate the role of the synthesis error parameter, which characterizes the quality of the synthesis in quantum state synthesis complexity classes. We first show that in the high synthesis error regime, collapse of synthesis classes implies collapse of the equivalent decision classes. For more reasonable synthesis error, we then show a similar relationships for BQP and QCMA. Finally, we show that for quantum state synthesis classes it is in general impossible to improve the quality of the synthesis: unlike the completeness and soundness parameters (which can be improved via repetition), the synthesis error cannot be reduced, even with arbitrary computational power.
title Quantum State Synthesis: Relation with Decision Complexity Classes and Impossibility of Synthesis Error Reduction
topic Quantum Physics
Computational Complexity
url https://arxiv.org/abs/2407.02907